Static 18F-FET PET and DSC-PWI based on hybrid PET/MR for the prediction of gliomas defined by IDH and 1p/19q status

被引:26
作者
Song, Shuangshuang [1 ,2 ]
Wang, Leiming [3 ]
Yang, Hongwei [4 ]
Shan, Yongzhi [5 ]
Cheng, Ye [5 ]
Xu, Lixin [5 ]
Dong, Chengyan [6 ]
Zhao, Guoguang [5 ]
Lu, Jie [1 ,2 ,4 ]
机构
[1] Capital Med Univ, Dept Radiol, Xuanwu Hosp, 45 Changchun St, Beijing 100053, Peoples R China
[2] Beijing Key Lab Magnet Resonance Imaging & Brain, Beijing, Peoples R China
[3] Capital Med Univ, Xuanwu Hosp, Dept Pathol, Beijing, Peoples R China
[4] Capital Med Univ, Xuanwu Hosp, Dept Nucl Med, Beijing, Peoples R China
[5] Capital Med Univ, Xuanwu Hosp, Dept Neurosurg, Beijing, Peoples R China
[6] GE Healthcare, Beijing, Peoples R China
关键词
Glioma; Isocitrate dehydrogenase; Positron emission tomography; Perfusion magnetic resonance imaging; Molecular typing; DYNAMIC SUSCEPTIBILITY CONTRAST; LOW-GRADE GLIOMAS; BRAIN-TUMORS; FET-PET; MRI; PERFUSION; CLASSIFICATION; MUTATIONS; IMPROVES;
D O I
10.1007/s00330-020-07470-9
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objectives To investigate the predictive value of static O-(2-F-18-fluoroethyl)-L-tyrosine positron emission tomography (F-18-FET PET) and cerebral blood volume (CBV) for glioma grading and determining isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion status. Methods Fifty-two patients with newly diagnosed gliomas who underwent simultaneous F-18-FET PET and dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) examinations on hybrid PET/MR were retrospectively enrolled. The mean and max tumor-to-brain ratio (TBR) and normalized CBV (nCBV) were calculated based on whole tumor volume segmentations with reference to PET/MR images. The predictive efficacy of FET PET and CBV in glioma according to the 2016 World Health Organization (WHO) classification was evaluated by receiver operating characteristic curve analyses with the area under the curve (AUC). Results TBRmean, TBRmax, nCBVmean, and nCBVmax differed between low- and high-grade gliomas, with the highest AUC of nCBVmean (0.920). TBRmax and nCBVmean showed significant differences between gliomas with and without IDH mutation (p = 0.032 and 0.010, respectively). Furthermore, TBRmean, TBRmax, and nCBVmean discriminated between IDH-wildtype glioblastomas and IDH-mutated astrocytomas (p = 0.049, 0.034 and 0.029, respectively). The combination of TBRmax and nCBVmean showed the best predictive performance (AUC, 0.903). Only nCBVmean differentiated IDH-mutated with 1p/19q codeletion oligodendrogliomas from IDH-wildtype glioblastomas (p < 0.001) (AUC, 0.829), but none of the parameters discriminated between oligodendrogliomas and astrocytomas. Conclusions Both FET PET and DSC-PWI might be non-invasive predictors for glioma grades and IDH mutation status. FET PET combined with CBV could improve the differentiation of IDH-mutated astrocytomas and IDH-wildtype glioblastomas. However, FET PET and CBV might be limited for identifying oligodendrogliomas.
引用
收藏
页码:4087 / 4096
页数:10
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